The importance of hyperparameters selection within small datasets
Gaussian Process is a Machine Learning technique that has been applied to the analysis of percutaneous absorption of chemicals through human skin. The normal, automatic method of setting the hyperparameters associated with Gaussian Processes may not be suitable for small datasets. In this paper we investigate whether a handcrafted search method of determining these hyperparameters is better for such datasets.
Published in2015 International Joint Conference on Neural Networks (IJCNN)
RelationsSchool of Life and Medical Sciences
School of Computer Science